Based on 40 comparable players
Most women's college players come directly from high school hockey. Junior or HS season stats below (when available on Elite Prospects).
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-W PPG | Age-Adjusted |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Forest Lake High (MN women) | USHS-MN-W | 21 | 5 | 4 | 9 | 0.429 | 0.0647 | 0.0647 |
| 2021-22 | Forest Lake High (MN women) | USHS-MN-W | 26 | 13 | 9 | 22 | 0.846 | 0.1278 | 0.1278 |
| 2022-23 | Forest Lake High (MN women) | USHS-MN-W | 24 | 7 | 5 | 12 | 0.500 | 0.0755 | 0.0727 |
| 2023-24 | Forest Lake High (MN women) | USHS-MN-W | 25 | 15 | 9 | 24 | 0.960 | 0.1450 | 0.1336 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-River Falls | WIAC | SO | 18 | 2 | 7 | 9 | 0.500 |
| 2024-25 | Wisconsin-River Falls | WIAC | FR | 25 | 3 | 17 | 20 | 0.800 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ebba Strandberg | SDHL · 2012-13 · 0.11 PPG | 0.333 | Maine |
| Kenzie Prater | USHS-MN-W · 2012-13 · 0.83 PPG | 0.432 | Quinnipiac |
| Emma Turbyville | NE-Prep-Girls · 2013-14 · 0.39 PPG | 0.040 | St. Cloud State |
| Izzy Bagi | 19U-AAA-W · 2012-13 · 0.45 PPG | 0.556 | Holy Cross |
| Allison Roethke | USHS-MN-W · 2012-13 · 0.80 PPG | 0.000 | Quinnipiac |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Rachel Azuma | 2014-15 · 1.40 PPG | 0.231 | Wisconsin-Eau Claire | WIAC |
| Addison Seleski | 2024-25 · 1.04 PPG | 0.323 | Wisconsin-River Falls | WIAC |
| Delaney Howard | 2024-25 · 0.55 PPG | 0.565 | Wilkes | MAC |
| Morgan Mitchell | 2023-24 · 1.07 PPG | 0.304 | St. Scholastica | NCHA |
| Rachel Martell | 2011-12 · 0.95 PPG | 0.333 | Stevenson | UCHC |
Women's college hockey projections draw primarily on high school and junior stats when available. Because most women go directly from HS to college, projections with limited pre-college data use conference-based priors.
NCAAe-W factors are derived from historical pre-college→NCAA-W transitions. For many players, projection confidence is lower than men's due to sparse pre-college tracking.